AI's Compute Demand Fuels Tokenization Flows: A Flow-Driven Analysis

The core macroeconomic flow is clear: artificial intelligence is entering a new growth phase. This isn't just about chatbots anymore. The shift toward more complex AI tasks is driving a surge in demand for computing power that is fundamentally reshaping investment strategies and the broader economy, as BlackRock's CEO Larry Fink recently emphasized in his annual letter.

That surge is materializing in company earnings beyond the AI mega scalers. The demand is driving investment across data centers, energy, and digital infrastructure, with the potential economic benefits now rippling through the market. This marks a broad economic impact, moving AI from a software trend to a physical infrastructure build-out.

The scale of this thematic investment underscores the shift. U.S. thematic funds have grown more than eleven times over the past decade as investors seek to capture long-term trends. AI, now in its next growth phase, is the dominant theme, requiring a massive buildout of the underlying "pipes and power" that will support its expansion for years to come.

Tokenization's Liquidity Engine: Measuring the On-Chain Flow

The market is moving from promise to performance. The global tokenization market is projected to grow from $4.02 billion in 2025 to $24.13 billion by 2035, expanding at a 19.63% CAGR. This isn't theoretical; in 2025, major asset managers like Franklin Templeton and JPMorgan launched tokenized products, and exchanges like the NYSE announced dedicated venues, marking a clear shift from observation to action.

On-chain value is now concentrated in regulated, yield-generating instruments. According to data from early 2026, tokenized real-world assets (RWA) had grown to over $24 billion, with tokenized U.S. Treasuries forming the largest category at ~$9.6 billion. This segment saw growth of around 120% year-over-year. Other core categories include money market funds and private credits, while tokenized commodities are dominated by gold.

This concentration reveals the current liquidity engine. The market is building on familiar, low-risk assets that meet institutional standards, but it has yet to demonstrate deep secondary liquidity across a broad range of asset classes. The flow is real, but it is channeled through a narrow set of high-quality, yield-bearing instruments.

Catalysts and Risks: The Path to Material Flow

The investment thesis hinges on a single, binary event: regulatory clarity. The passage of the GENIUS Act and the expected 2026 enactment of the Clarity Act are removing the primary barrier of uncertainty that has hindered mainstream adoption. This policy shift is the catalyst that could unlock trillions in illiquid assets, dramatically increasing tokenization flow. Without it, the market remains stuck in pilot mode.

The primary risk is execution lag. Even with a projected 19.63% CAGR for the global market, the financial contribution to a firm like BlackRock is likely minimal for years. The strategy's early focus on regulated, yield-generating instruments like tokenized Treasuries and private credits is a prudent but narrow path. This limits near-term revenue impact while the infrastructure and standards mature.

Monitor two specific metrics for early signs of institutional adoption. First, watch the volume and activity on the NYSE's dedicated tokenized securities venue, a key signal of market infrastructure scaling. Second, track the growth of tokenized corporate bonds, a category that has seen pilot issuance but needs to demonstrate consistent, high-volume trading to prove liquidity. These are the flow indicators that will separate operational viability from material economic impact.